Glossary entry · Governance
Layer 4 of AI value management: whether AI effort is aligned to funded initiatives, product outcomes, and strategic portfolio commitments, with AI spend and effort mapped to the structures used to plan work.
It connects AI activity to what the organisation has chosen to fund. Without it, leaders cannot prioritise, sequence, remove duplication or decide whether an experiment should become delivery.
Starting measures in the KPI library include AI Initiative Ownership Rate, AI Business Case Coverage, AI Governance Span and the AI Run/Grow/Transform Ratio. Owners are usually strategic portfolio management, portfolio and delivery leads.
Delivery alignment is the fourth of the five layers of AI value management. The planning structures it maps to vary: epics, capabilities, products, value streams, programme increment objectives or their equivalent.
It is the layer strategic portfolio management owns most directly, and the one that turns the AI portfolio from a list of tools into a set of funded commitments.
Put it to work
Browser tool. Twenty questions across the five layers of AI value management, scored against concrete behaviours, ending in a maturity level and the two layers to work on first.
Excel template. A starter scorecard that takes KPIs from the library and maps them to the five layers of AI value management, with baseline, target and owner for each.
Word template. A nine-part case for one AI use case: problem, baseline, value by layer, full cost, attribution plan, risk, exit criteria and the decision asked for.
